Ph.D. in Computational Data Science and Lead Machine Learning Engineer with 12 years of experience in deep learning and neural network optimization. Specializes in computer vision and predictive algorithm deployment for enterprise applications.
Dr. Vasquez bridges the gap between academic theory and practical AI implementation. Having led R&D teams for major tech firms in Silicon Valley, she possesses deep technical knowledge in pruning neural networks, optimizing GPU/TPU usage, and solving the "black box" transparency problem. Her writing targets data scientists and technical leads, focusing on the nitty-gritty of cleaning industrial datasets, selecting the right architecture (CNN vs. RNN), and integrating AI monitoring tools into existing workflows. Elena is passionate about demystifying complex algorithms to show how they actually solve business problems like defect detection and operational efficiency.